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  2. Wavelet - Wikipedia

    en.wikipedia.org/wiki/Wavelet

    This means that there has to exist an auxiliary function, the father wavelet φ in L 2 (R), and that a is an integer. A typical choice is a = 2 and b = 1. The most famous pair of father and mother wavelets is the Daubechies 4-tap wavelet. Note that not every orthonormal discrete wavelet basis can be associated to a multiresolution analysis; for ...

  3. Discrete wavelet transform - Wikipedia

    en.wikipedia.org/wiki/Discrete_wavelet_transform

    The filterbank implementation of wavelets can be interpreted as computing the wavelet coefficients of a discrete set of child wavelets for a given mother wavelet (). In the case of the discrete wavelet transform, the mother wavelet is shifted and scaled by powers of two

  4. Cohen–Daubechies–Feauveau wavelet - Wikipedia

    en.wikipedia.org/wiki/Cohen–Daubechies...

    An example of the 2D wavelet transform that is used in JPEG 2000. Cohen–Daubechies–Feauveau wavelets are a family of biorthogonal wavelets that was made popular by Ingrid Daubechies. [1] [2] These are not the same as the orthogonal Daubechies wavelets, and also not very similar in shape and properties. However, their construction idea is ...

  5. Daubechies wavelet - Wikipedia

    en.wikipedia.org/wiki/Daubechies_wavelet

    Daubechies orthogonal wavelets D2–D20 resp. db1–db10 are commonly used. Each wavelet has a number of zero moments or vanishing moments equal to half the number of coefficients. For example, D2 has one vanishing moment, D4 has two, etc. A vanishing moment limits the wavelets ability to represent polynomial behaviour or information in a ...

  6. Continuous wavelet transform - Wikipedia

    en.wikipedia.org/wiki/Continuous_wavelet_transform

    In definition, the continuous wavelet transform is a convolution of the input data sequence with a set of functions generated by the mother wavelet. The convolution can be computed by using a fast Fourier transform (FFT) algorithm. Normally, the output (,) is a real valued function except when the mother wavelet is complex. A complex mother ...

  7. Cauchy wavelet - Wikipedia

    en.wikipedia.org/wiki/Cauchy_wavelet

    Since the wavelet transform equals to the convolution to the mother wavelet and the convolution to the mother wavelet equals to the multiplication between the Fourier transform of the mother wavelet and the function by the convolution theorem. And, (2) the design of the Cauchy wavelet transform is considered with analysis of the analytic signal.

  8. Coiflet - Wikipedia

    en.wikipedia.org/wiki/Coiflet

    Coiflets are discrete wavelets designed by Ingrid Daubechies, at the request of Ronald Coifman, to have scaling functions with vanishing moments. The wavelet is near symmetric, their wavelet functions have N / 3 {\displaystyle N/3} vanishing moments and scaling functions N / 3 − 1 {\displaystyle N/3-1} , and has been used in many applications ...

  9. Ingrid Daubechies - Wikipedia

    en.wikipedia.org/wiki/Ingrid_Daubechies

    The name Daubechies is widely associated with the orthogonal Daubechies wavelet and the biorthogonal CDF wavelet. A wavelet from this family of wavelets is now used in the JPEG 2000 standard. Her research involves the use of automatic methods from both mathematics, technology, and biology to extract information from samples such as bones and ...